Land Back: A Case Study of the Saugeen Ojibway Nation and One County’s Attempt at Reconciliation
Bibliographic record
Abstract
This single instrumental case study highlights the Saugeen Ojibway Nation land claims case as a way to analyze actions of reconciliation. A detailed review of the historical context of the traditional territory and the development of the Canadian nation-state is described. Multiple sources of data were collected including a legal case, municipal county minutes and articles published in the local press. This research was grounded in the theoretical frameworks of anti-colonialism and anti-capitalism, which allowed for an analysis of the data that lead to multiple propositions. Key findings included the need for land back settlements to be combined with self-determination and compensation. Second, the burden of proof for Aboriginal title needs to be shifted to the colonial occupiers. Lastly, within Indigenous land settlement cases that are touted as acts of reconciliation, more needs to be done to affirm Indigenous knowledges and ways of knowing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.034 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".